Metadata-Version: 2.1
Name: goes2go
Version: 0.0.2
Summary: Retreive GOES-16/17 data from AWS. Also proves some RGB recipes.
Home-page: UNKNOWN
Author: Brian K. Blaylock
Author-email: blaylockbk@gmail.com
License: MIT
Project-URL: Source Code, https://github.com/blaylockbk/goes2go
Project-URL: Documentation, https://blaylockbk.github.io/goes2go/_build/html/
Description: # 📔 [Documentation Page](https://blaylockbk.github.io/goes2go/_build/html/)
        
        
        |![](https://blaylockbk.github.io/goes2go/_build/html/_static/goes2go_logo.png)|**Brian Blaylock**<br>🌐 [Webpage](http://home.chpc.utah.edu/~u0553130/Brian_Blaylock/home.html)<br>[🔩 PyPI](https://pypi.org/user/blaylockbk/)
        |:--|:--|
        
        
        # 🏃🏻‍♂️💨 🌎 🛰 GOES-2-go 
        
        [![](https://img.shields.io/pypi/v/goes2go)](https://pypi.python.org/pypi/goes2go/)
        ![](https://img.shields.io/github/license/blaylockbk/goes2go)
        ![](https://img.shields.io/pypi/dm/goes2go)
        
        
        Download and read files from the NOAA GOES archive on AWS.http://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_FAQ.html
        
        Read doc strings for functions in `goes2go/` folder for full usage description.
        
        >### Some Useful Links
        >- [📔 GOES-R Series Data Book](https://www.goes-r.gov/downloads/resources/documents/GOES-RSeriesDataBook.pdf)
        >- [🎠 Beginner's Guide](https://www.goes-r.gov/downloads/resources/documents/Beginners_Guide_to_GOES-R_Series_Data.pdf)
        >- [🖥 Rammb Slider GOES Viewer](https://rammb-slider.cira.colostate.edu)
        >- [💾 GOES on AWS](https://registry.opendata.aws/noaa-goes/)
        >- [🐍 Unidata Plot GOES Data](https://unidata.github.io/python-training/gallery/mapping_goes16_truecolor/)
        >- [🗺 Plotting tips form geonetcast blog](https://geonetcast.wordpress.com/2019/08/02/plot-0-5-km-goes-r-full-disk-regions/)
        >- [🐍 `glmtools`](https://github.com/deeplycloudy/glmtools/)
        
        ---
        
        > ### What if I don't like the goes2go package?
        > As an alternative you can use [rclone](https://rclone.org/) to download GOES files from AWS. I quite like rclone. Here is a [short rclone tutorial](https://github.com/blaylockbk/pyBKB_v3/blob/master/rclone_howto.md).
        
        # Download Data
        Download GOES 16 ABI (this example downloads the multichannel fixed grid product for CONUS) and read it with xarray.
        
        ```python
        from goes2go.data import goes_latest, goes_nearesttime
        
        # Get latest data
        G1 = goes_latest(satellite='G16', product='ABI')
        
        # Get data for a specific time
        G2 = goes_nearesttime(datetime(2020,10,1), satellite='G16', product='GLM')
        ```
        
        # RGB Recipies
        For a GOES ABI multichannel xarray.Dataset, return an RGB array for an RGB product. See [DEMO](./notebooks/DEMO_rgb_recipies.ipynb) for more examples of RGB products.
        
        ![](./images/TrueColor.png)
        
        
        # Field of View
        
        See notebooks for [GLM](./notebooks/field-of-view_GLM.ipynb) and [ABI](./notebooks/field-of-view_ABI.ipynb) field of view.
        
        GOES-West is centered over -137 W and GOES-East is centered over -75 W. When GOES was being tested, it was in a "central" position, outlined in the dashed black line. Below is the ABI field of view for the full disk:
        ![field of view image](./images/ABI_field-of-view.png)
        
        The GLM field of view is slightly smaller and limited by a bounding box. Below is the GLM field of view:
        ![field of view image](./images/GLM_field-of-view.png)
        
Keywords: xarray,meteorology,weather,GOES,forecast
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Description-Content-Type: text/markdown
